← Search

Valentinos Pariza

2 accepted papers

2026

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning

CVPR 2026

We present Franca (pronounced Fran-ka): free one; the first fully open-source (data, code, weights) vision foundation model that matches and in many cases surpasses the performance of state-of-the-art proprietary models, e.g., DINOv2, CLIP, SigLIPv2, etc. Our approach is grounded in a transparent tr

Cited by 0SourceScholar
2025

Near, far: Patch-ordering enhances vision foundation models' scene understanding

ICLR 2025poster

We introduce NeCo: Patch Neighbor Consistency, a novel self-supervised training loss that enforces patch-level nearest neighbor consistency across a student and teacher model. Compared to contrastive approaches that only yield binary learning signals, i.e. "attract" and "repel", this approach benefi…

Cited by 0SourcePDFScholar